Lawrence Brody, Ph.D.
An Introduction to Genomics: Breast cancer genes, risk assessment and screening
Lawrence Brody, Ph.D. Fong et al., NEJM , 361:123-134, 2009 Breast - - PowerPoint PPT Presentation
An Introduction to Genomics: Breast cancer genes, risk assessment and screening Lawrence Brody, Ph.D. Fong et al., NEJM , 361:123-134, 2009 Breast Cancer Genes What are they? How do we find them? What is their function? How can
Lawrence Brody, Ph.D.
An Introduction to Genomics: Breast cancer genes, risk assessment and screening
Fong et al., NEJM, 361:123-134, 2009
What are they? How do we find them? What is their function? How can they be used to improve health?
Change in the US Death Rates by Cause, 1950 & 2002
* Age-adjusted to 2000 US standard population. Sources: 1950 Mortality Data - CDC/NCHS, NVSS, Mortality Revised. 2002 Mortality Data–NVSR-Death Final Data 2001–Volume 52, No. 3.
Heart Diseases Cerebrovascular Diseases Pneumonia/ Influenza Cancer
1950 2002
Rate Per 100,000
http://www.cdc.gov/nchs/data/nvsr/nvsr52/nvsr52_03.pdf
207,090 new cases 39,840 deaths per year – lifetime risk of diagnosis ~ 12% (1/8) – risk of death from breast cancer - 3.4% (1/35)
ACS estimates for 2010
Cancer Death Rates: US Women, 1930-2001
Age-adjusted to the 2000 US standard population. Source: US Mortality Public Use Data Tapes 1960-2000, US Mortality Volumes 1930-1959, National Center for Health Statistics, Centers for Disease Control and Prevention, 2003.
Lung
Uterus
Breast
Ovary
Rate Per 100,000
Cancer Incidence: US Women, 1978-2008
SEER Data
Individuals: may inherit genetic variants that
lead to an increase in cancer risk.
Cells: acquire mutations associated with growth
advantage and/or escape from normal controls.
Somatic mutations
“cancer is a genetic disease”
Inherited variation
TUMOR SUPRESSOR GENES
Mutation Carriers Tumor Cell
Topography of Cancer Risk
Relative Risk
Minor Allele Frequency (%)
Relative Risk
Minor Allele Frequency (%)
10.0 2.0 1.0 0.1 1.0 10.0 30.0 1.5
Adapted from Foulkes WD NEJM, 359:2143, 2008
seer.nci.gov
Breast ~ 8X Prostate 2-3X Breast Ovarian 20-30X
Relative Risk
Minor Allele Frequency (%)
10.0 2.0 1.0 0.1 1.0 10.0 30.0 1.5
Adapted from Foulkes WD NEJM, 359:2143, 2008
BRCA2 BRCA1 TP53
BRCA1 Mutations and Polymorphisms
1 kb
188del11bp Q1313ter G1541ter P1637L A1708E M1775R C64G 1294del40 E1250ter 3875del4 R1443ter R1443G 5085del19 5382insC 185delAG C61G 710C/T 1133insA Q356R E693N 2201C/T 2430T/C V772A R841W P871L E1038G 3233 A/G S1040N K1183R 4056C/T R1347G 4427C/T S1613G 5024C/T V1713A 5398del20 5438insC 1323delG K583E 3599del 11bp 5256delG 926ins11 1128insA 1201del11 Q562ter 2080insA 2294delG 2414delAG T826K 2477delC 2800delA 2863delTC 2982del5 3121delA 3166ins5 R1203ter 3884del1 4184del4 Y1853ter 2311 D694N
12/94
BRCA1 and BRCA2 Founder Mutations
German, Swedish, Polish, Spanish, Cypriot, Afrikaner, Malaysian
BRCA1 Mutation Data
Total Entries Distinct Alterations One Family Only Missense 2734 489 259 Nonsense 1046 176 84 Frameshift 4780 513 303 Splicing 598 175 100
BRCA1 Mutation Data
Missense 2734 489 259
The Unclassified Variant Problem
low relative risk, high attributable risk Association Studies!
Controls 10,860 0.7%
Carriers
n
p= 0.0000001
OR= 2.34 CI 1.72-3.20
AJHG 74, 2004
Breast cancer 9,065 1.9%
Relative Risk
Minor Allele Frequency (%)
10.0 2.0 1.0 0.1 1.0 10.0 30.0 1.5
Adapted from Foulkes WD NEJM, 359:2143, 2008
BRCA2 BRCA1 TP53 ATM BRIP1 CHEK2 PALB2
Genome Wide Association Study
Nature 447:1087-109, 28 June 2007
147 Institutional Affiliations
Relative Risk
Minor Allele Frequency (%)
10.0 2.0 1.0 0.1 1.0 10.0 30.0 1.5
Adapted from Foulkes WD NEJM, 359:2143, 2008
BRCA2 BRCA1 TP53
ATM BRIP1 CHEK2 PALB2
MAP3KI
8q TOX3 6q CASP8 LSP1 FGFR2
Topography of Cancer Risk
Relative Risk
Minor Allele Frequency (%)
10.0 2.0 1.0 0.1 1.0 10.0 30.0 1.5
Adapted from Foulkes WD NEJM, 359:2143, 2008
BRCA2 BRCA1 TP53
ATM BRIP1 CHEK2 PALB2
MAP3KI
8q TOX3 6q CASP8 LSP1 FGFR2
BRCA1/ BRCA2 Mutation Associated Risk
Study Type Cancer by Age 70 Family-based 80-90% Population-based 30-50% Community-based 50-70% Proband-based 75-85%
Clinical Significance?
–Individual health –Public health
Proportion of Cases Explained (%)
100 80 60 40 20 20 40 60 80 100
Proportion of the Population
Adapted from Pharoah PD NEJM 358, 2008
Distribution of Genetic Risk in the Population
Pharoah P et al. N Engl J Med 2008;358:2796-2803
Pharoah PD NEJM 358, 2008
Proportion of Cases Explained (%)
100 80 60 40 20 20 40 60 80 100
Proportion of the Population
Adapted from Pharoah PD NEJM 358, 2008
Anders C K et al. Clin Cancer Res 2010;16:4702-4710
PARP1 inhibitors kill established tumors
Audeh et al., Lancet, 6 July 2010
O’Shaughnessy Jan 2011
NEJM
Tutt et al., Lancet, 6 July 2010
Last slide
Breast Cancer Genes - GWAS Genes
Risk Allele Freq Relative Risk Pop. Attributable Risk CASP8 0.86 1.13 20% FGFR2 0.38 1.26 19% TNRC9 0.25 1.20 10% “2q” 0.58 1.20 7% Gene
Adapted from Pharoah P et al. N Engl J Med 2008;358:2796-2803
Farmer et al., Nature, 434: 917, 2005 Bryant et al., Nature, 434: 913, 2005
Tailored therapy?